mirror of https://github.com/alibaba/MNN.git
79 lines
2.5 KiB
C++
79 lines
2.5 KiB
C++
// cxx-api-examples/sense-voice-cxx-api.cc
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// Copyright (c) 2024 Xiaomi Corporation
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//
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// This file demonstrates how to use sense voice with sherpa-onnx's C++ API.
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//
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// clang-format off
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//
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// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
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// tar xvf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
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// rm sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
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//
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// clang-format on
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#include <chrono> // NOLINT
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#include <iostream>
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#include <string>
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#include "sherpa-mnn/c-api/cxx-api.h"
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int32_t main() {
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using namespace sherpa_mnn::cxx; // NOLINT
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OfflineRecognizerConfig config;
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config.model_config.sense_voice.model =
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"./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/model.int8.onnx";
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config.model_config.sense_voice.use_itn = true;
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config.model_config.sense_voice.language = "auto";
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config.model_config.tokens =
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"./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt";
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config.model_config.num_threads = 1;
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std::cout << "Loading model\n";
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OfflineRecognizer recongizer = OfflineRecognizer::Create(config);
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if (!recongizer.Get()) {
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std::cerr << "Please check your config\n";
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return -1;
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}
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std::cout << "Loading model done\n";
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std::string wave_filename =
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"./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/test_wavs/en.wav";
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Wave wave = ReadWave(wave_filename);
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if (wave.samples.empty()) {
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std::cerr << "Failed to read: '" << wave_filename << "'\n";
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return -1;
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}
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std::cout << "Start recognition\n";
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const auto begin = std::chrono::steady_clock::now();
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OfflineStream stream = recongizer.CreateStream();
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stream.AcceptWaveform(wave.sample_rate, wave.samples.data(),
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wave.samples.size());
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recongizer.Decode(&stream);
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OfflineRecognizerResult result = recongizer.GetResult(&stream);
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const auto end = std::chrono::steady_clock::now();
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const float elapsed_seconds =
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std::chrono::duration_cast<std::chrono::milliseconds>(end - begin)
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.count() /
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1000.;
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float duration = wave.samples.size() / static_cast<float>(wave.sample_rate);
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float rtf = elapsed_seconds / duration;
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std::cout << "text: " << result.text << "\n";
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printf("Number of threads: %d\n", config.model_config.num_threads);
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printf("Duration: %.3fs\n", duration);
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printf("Elapsed seconds: %.3fs\n", elapsed_seconds);
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printf("(Real time factor) RTF = %.3f / %.3f = %.3f\n", elapsed_seconds,
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duration, rtf);
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return 0;
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}
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